ICRA 2019poster3 citations

CoLo: A Performance Evaluation System for Multi-robot Cooperative Localization Algorithms

Shengkang Chen, Ankur Mehta

Abstract

This paper describes CoLo - a performance evaluation system for two-dimensional cooperative localization algorithms. The system consists of a physical experiment (CoLo-PE) for data collection and a software analysis tool (CoLo-AT) using real-world datasets to evaluate the performances of users’ cooperative localization algorithms. This paper details the design and operation of the physical experiment (CoLo-PE) and discusses the functionalities and uses of the software analysis tool (CoLo-AT) for algorithm evaluation. Specifically, CoLo allows researchers to conveniently add their cooperative localization algorithms and test them extensively on different real-world datasets with various settings. CoLo is available at https://git.uclalemur.com/billyskc/CoLo.

BibTeX
@inproceedings{icra2019_coloaperformance,
  title = {CoLo: A Performance Evaluation System for Multi-robot Cooperative Localization Algorithms},
  author = {Shengkang Chen and Ankur Mehta},
  booktitle = {ICRA 2019},
  year = {2019}
}